• Journal of Advanced Marine Engineering and Technology
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• 제38권6호
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• pp.716-722
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• 2014

DC 모터 시스템의 속도 제어기를 설계하기 위해서는 먼저 시스템의 파라미터 추정이 선행되어야 한다. 본 논문에서는 유전알고리즘을 이용하여 DC 모터 시스템의 파라미터를 추정하는 기법에 대해 다룬다. 이때 사용되는 추정 모델은 1차 및 2차 모델을 고려하며, 유전알고리즘의 3가지 평가함수를 고려하여 최적화한다. 또한, 유전알고리즘이 해공간에서 최적해를 탐색하는 능력의 우수함을 보여주기 위해 수치적 해석 방법을 통한 추정 결과도 함께 비교한다. 이때 파라미터 추정에 사용되는 데이터는 실제 실험장치의 입출력데이터를 이용하며, 신호의 잡음 제거를 위해 Butterworth 필터도 함께 설계한다. 마지막으로 제안한 기법을 통해 얻어진 모델과 실제 실험장치의 데이터와 비교하여 그 유효성과 정확성을 확인한다.

• The Plant Pathology Journal
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• 제32권1호
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• pp.58-64
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• 2016

Bacterial wilt of tomatoes caused by Ralstonia solanacearum is a devastating disease that limits the production of tomato in Korea. The best way to control this disease is using genetically resistant tomato plant. The resistance degree to R. solanacearum was evaluated for 285 tomato accessions conserved in the National Agrobiodiversity Center of Rural Development Administration. These accessions of tomato were originated from 23 countries. Disease severity of tomato accessions was investigated from 7 days to 14 days at an interval of 7 days after inoculation of R. solanacearum under greenhouse conditions. A total of 279 accessions of tomato germplasm were susceptible to R. solanacearum, resulting in wilt and death in 70 to 90% of these plants. Two tomato accessions were moderately resistant to R. solanacearum. Only four accessions showed high resistance against R. solanacearum. No distinct symptom of bacterial wilt appeared on the resistant tomato germplasms for up to 14 days after inoculation of R. solanacearum. Microscopy of resistant tomato stems infected with R. solanacearum revealed limited bacterial spread with thickening of pit membrane and gum production. Therefore, these four resistant tomato germplasms could be used in tomato breeding program against bacterial wilt.

• The Plant Pathology Journal
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• 제36권1호
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• pp.11-28
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• 2020

Faba bean (Vicia faba L.) is one of the most important legume crops in Egypt. However, production of faba bean is affected by several diseases including fungal diseases. Fusarium wilt incited by Fusarium oxysporum Schlecht. was shown to be the most common wilt disease of faba bean in Assiut Governorate. Evaluation of 16 faba bean genotypes for the resistance to Fusarium wilt was carried out under greenhouse conditions. Three molecular marker systems (inter-simple sequence repeat [ISSR], sequence related amplified polymorphism [SRAP], and simple sequence repeat [SSR]) and a biochemical marker (protein profiles) were used to study the genetic diversity and detect molecular and biochemical markers associated with Fusarium wilt resistance in the tested genotypes. The results showed that certain genotypes of faba bean were resistant to Fusarium wilt, while most of the genotypes were highly susceptible. The percentage of disease severity ranged from 32.83% in Assiut-215 to 64.17% in Misr-3. The genotypes Assiut-215, Roomy-3, Marut-2, and Giza2 were the most resistant, and the genotypes Misr-3, Misr-1, Assiut-143, Giza-40, and Roomy-80 performed as highly susceptible. The genotypes Assiut-215 and Roomy-3 were considered as promising sources of the resistance to Fusarium wilt. SRAP markers showed higher polymorphism (82.53%) compared with SSR (76.85%), ISSR markers (62.24%), and protein profile (31.82%). Specific molecular and biochemical markers associated with Fusarium wilt resistance were identified. The dendrogram based on combined data of molecular and biochemical markers grouped the 16 faba bean genotypes into three clusters. Cluster I included resistant genotypes, cluster II comprised all moderate genotypes and cluster III contained highly susceptible genotypes.

• 생명과학회지
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• 제21권3호
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• pp.468-472
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• 2011

DNA 마커는 유전현상 분석이나 품종육성에 널리 사용되고 있다. 본 연구에서는 내냉성 오이 계통인 'NC76'과 냉해 감수성 계통인 'GY14'로부터 내냉성 연관 마커을 목적으로 기존의 총 995개 SSR 마커의 다형성을 평가하였다. Agarose gel 전기영동법으로 'NC76과 'GY14' 간 PCR증폭 산물의 길이 다형성을 보이는 145개 SSR 마커를 개발하였으며, high resolution melting (HRM) 기술을 사용하여 염기서열 다형성을 보이는 30개의 SSR 마커를 확인하였다. 개발된 175개 SSR 마커 중 20개 마커를 선발하여 'NC76'과 'GY14' 간 $F_2$ 분리 집단에 대한 연관지도를 작성하였으며 그 결과 13개의 마커가 예상했던 연관군에 일치하여 위치됨을 확인할 수 있었다. 따라서 본 연구에서 확인된 175개의 SSR 마커는 향 후 냉해 저항성 연관 마커 개발을 위한 오이 유전자 지도 작성 및 이를 통한 품종 육성에 크게 활용될 수 있을 것으로 기대된다.

• 융합보안논문지
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• 제17권1호
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• pp.31-38
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• 2017

네트워크를 통한 사이버 공격 기법들이 다양화, 고급화 되면서 간단한 규칙 기반의 침입 탐지/방지 시스템으로는 지능형 지속 위협(Advanced Persistent Threat: APT) 공격과 같은 새로운 형태의 공격을 찾아내기가 어렵다. 기존에 알려지지 않은 형태의 공격 방식을 탐지하는 이상행위 탐지(anomaly detection)를 위한 해결책으로 최근 기계학습 기법을 침입탐지 시스템에 도입한 연구들이 많다. 기계학습을 이용하는 경우, 사용하는 특징 집합에 침입탐지 시스템의 효율성과 성능이 크게 좌우된다. 일반적으로, 사용하는 특징이 많을수록 침입탐지 시스템의 정확성은 높아지는 반면 탐지를 위해 소요되는 시간이 많아져 긴급성을 요하는 경우 문제가 된다. 논문은 이러한 두 가지 조건을 동시에 충족하는 특징 집합을 찾고자 다목적 유전자 알고리즘을 제안하고 인공신경망에 기반한 네트워크 침입탐지 시스템을 설계한다. 제안한 방법의 성능 평가를 위해 NSL_KDD 데이터를 대상으로 이전에 제안된 방법들과 비교한다.

• Smart Structures and Systems
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• 제17권6호
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• pp.1087-1105
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• 2016

Traffic load and volume is one of the most important physical quantities for bridge safety evaluation and maintenance strategies formulation. This paper aims to conduct the statistical analysis of traffic volume information and the multimodal modeling of gross vehicle weight (GVW) based on the monitoring data obtained from the weigh-in-motion (WIM) system instrumented on the arch Jiubao Bridge located in Hangzhou, China. A genetic algorithm (GA)-based mixture parameter estimation approach is developed for derivation of the unknown mixture parameters in mixed distribution models. The statistical analysis of one-year WIM data is firstly performed according to the vehicle type, single axle weight, and GVW. The probability density function (PDF) and cumulative distribution function (CDF) of the GVW data of selected vehicle types are then formulated by use of three kinds of finite mixed distributions (normal, lognormal and Weibull). The mixture parameters are determined by use of the proposed GA-based method. The results indicate that the stochastic properties of the GVW data acquired from the field-instrumented WIM sensors are effectively characterized by the method of finite mixture distributions in conjunction with the proposed GA-based mixture parameter identification algorithm. Moreover, it is revealed that the Weibull mixture distribution is relatively superior in modeling of the WIM data on the basis of the calculated Akaike's information criterion (AIC) values.

• 대한생식의학회:학술대회논문집
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• 대한불임학회 2003년도 제45차 추계학술대회
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• pp.21-30
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• 2003

As a result of the technological advance provided by intracytoplasmic sperm injection (ICSI) in 1992, the evaluation and treatment of the infertile male has changed significantly. Many men who were previously thought to be irreversibly infertile have the potential to initiate their own biologic pregnancy. However, not all men having impaired semen parameter are ideal candidates for ICSI for numerous reasons including a lack of addressing the underlying problem causing the male infertility, unknown genetic consequences, and cost-effectiveness issues. In this era of ICSI, the fundamental approach to the male with suspected subfertility is unchanged and is based on a history, physical examination, and focused laboratory testing. The urologist should approach the patient with an intent to identify remediable causes of subfertility given the specific clinical situation. For instance, should a gentleman have his varicocele repaired or vasectomy reversed, or should he proceed directly with ICSI? If no factors can be improved in a timely manner, then ICSI should be considered using the available sperm. Examples of recent advances include the diagnosis and treatment of ejaculatory duct obstruction, indications and techniques for performing testis biopsy, and technique for sperm harvesting. In addition, potential genetic causes of male subfertility should be diagnosed and discussed with the patient. Cystic fibrosis gene mutation, karyotype abnormallities, and Y-chromosome microdeletions all have recently been identified as causative for male infertility in otherwise phenotypically normal men. With recently evolved diagnostic and therapeutic techniques now available for the infertile couple, even the most severe male factor problems in patients previously considered irreversibly infertile are now potentially treatable. The physician should be aware of the availability and limitations of these new and exciting reproductive technologies because they will allow him to provide timely and more effective therapy for the infertile couple. An understanding of these advances by all physicians is important as we progress into the $21^{st}$ century

• Journal of Electrical Engineering and Technology
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• 제13권3호
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• pp.1202-1211
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• 2018

In this paper, induction machine operation efficiency and torque is improved using Machine Learning based Gene Optimization (ML-GO) Technique is introduced. Optimized Genetic Algorithm (OGA) is used to select the optimal induction machine data. In OGA, selection, crossover and mutation process is carried out to find the optimal electrical machine data for induction machine design. Initially, many number of induction machine data are given as input for OGA. Then, fitness value is calculated for all induction machine data to find whether the criterion is satisfied or not through fitness function (i.e., objective function such as starting to full load torque ratio, rotor current, power factor and maximum flux density of stator and rotor teeth). When the criterion is not satisfied, annealed selection approach in OGA is used to move the selection criteria from exploration to exploitation to attain the optimal solution (i.e., efficient machine data). After the selection process, two point crossovers is carried out to select two crossover points within a chromosomes (i.e., design variables) and then swaps two parent's chromosomes for producing two new offspring. Finally, Adaptive Levy Mutation is used in OGA to select any value in random manner and gets mutated to obtain the optimal value. This process gets iterated till finding the optimal value for induction machine design. Experimental evaluation of ML-GO technique is carried out with performance metrics such as torque, rotor current, induction machine operation efficiency and rotor power factor compared to the state-of-the-art works.

• Journal of Genetic Medicine
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• 제17권1호
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• pp.43-46
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• 2020

The Shprintzen-Goldberg syndrome (SGS) is an extremely rare genetic disorder caused by heterozygous variant in SKI. SGS is characterized by neurodevelopmental impairment with skeletal anomaly. Recognition of SGS is sometimes quite challenging in practice because it has diverse clinical features involving skeletal, neurological, and cardiovascular system. Here we report a case of a 6-month-old boy who initially presented with developmental delay and marfanoid facial features including prominent forehead, hypertelorism, high arched palate and retrognathia. He showed motor developmental delay since birth and could not control his head at the time of first evaluation. His height was above 2 standard deviation score. Arachnodactyly, hypermobility of joints, skin laxity, and pectus excavatum were also noted. Sequencing for FBN1 was negative, however, a novel missense variant, c.350G>A in SKI was identified by sequential whole exome sequencing. To our knowledge, this is the first case with SGS with phenotypic features of SGS overlapping with those of the Marfan syndrome, diagnosed by next generation sequencing in Korea.

• 한국식품위생안전성학회지
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• 제29권4호
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• pp.383-390
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• 2014

The safety of a new natural plant composition (ADP) was assessed on the genotoxicity study and 14-day repeat dose toxicity study. ADP contains a mixed water extract obtained from the mixture of Phellodendron cortex (Phellodendron amurense) and Anemarrhena rhizoma (Anemarrhena asphodeloides), and poses the contractile properties mediated by alpha-adrenoceptor of the prostate and urethra as well as antioxidant and anti-inflammatory properties. In order to evaluate genetic safety, in vivo micronucleus test was performed in ICR mice orally administered with three dose levels of 1250, 2500, 5000 mg/kg body weight, and vehicle and positive control. In the 14 days study, Sprague-Dawley rats were treated with ADP at the dose levels of 500, 1000, 2000 mg/kg once a day, and clinical signs, body weights, hematology, serum biochemistry, necropsy findings and organ weights were monitored and examined. In experimental results, ADP treatment, compared with vehicle control, did not induce the micronucleated erythrocytes from mouse bone marrow. In the 14 days study, any significant and toxicological differences in all measurements of parameters were not observed in ADP treatment groups of animals, compared with vehicle treatment. The No-Observed-Adverse-Effect-Level (NOAEL) of ADP in the 14 days study was determined to be greater than 2000 mg/kg/day in both sexes.